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Apprentice Data Scientist Machine Learning Jobs in Omaha, NE

Agile Defense

Data Scientist

Omaha, NE

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and ... data science, machine learning engineering, or data pipeline development. * Proficient in Python ...

Agile Defense

Data Scientist

Omaha, NE

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and ... data science, machine learning engineering, or data pipeline development. * Proficient in Python ...

Via Logic LLC

Data Scientist

Omaha, NE · On-site

Develop automated approaches leveraging artificial intelligence/machine learning (AI/ML) and ... Stay current on emerging data science techniques and tools relevant to OIE. * Provide ...

Warnerbros

Principal Data Scientist

Bellevue, NE · On-site

Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modeling approaches to support product, engineering and marketing ...

Brookfield

Sr P&C Data Scientist

Omaha, NE

The Senior P&C Data Scientist owns the development and improvement of analytical models and ... This role applies statistical, machine learning, and data analysis techniques to insurance data to ...

ALLO Fiber

Data Scientist

Omaha, NE

The Data Scientist is a highly analytical and business-savvy individual contributor who acts as an ... Design, develop, evaluate, and deploy state-of-the-art machine learning and deep learning models ...

USfalcon, Inc.

Data Scientist, Craftsman

Omaha, NE · On-site

USfalconis seekinga Data Scientist, Craftsman to supportUSSTRATCOMat Offutt AFB,NE. ESSENTIAL ... Design, build, andoptimizeartificial intelligence, machine learning, and statistical modeling ...

USfalcon

Data Scientist, Craftsman

Omaha, NE · On-site

USfalcon is seeking a Data Scientist, Craftsman to support USSTRATCOM at Offutt AFB, NE. ESSENTIAL ... Design, build, and optimize artificial intelligence, machine learning, and statistical modeling ...

Warnerbros

Machine Learning Engineer II

Bellevue, NE · On-site

Collaborate with applied science engineers to improve quality, stability, resilience of search and ... Collaborate with platform, content, user data and product partners as HBO Max expands to new ...

Snap, Inc.

Senior Data Scientist, Level 5

Bellevue, NE · On-site

Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically ... data science experience ; or a Master's degree in a technical field + 4+ years of post-grad ...

Snapchat

Senior Data Scientist, Level 5

Bellevue, NE · On-site

Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically ... data science experience ; or a Master's degree in a technical field + 4+ years of post-grad ...

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All JobsApprentice Data Scientist Machine Learning JobsApprentice Data Scientist Machine Learning Jobs in Omaha, NE

Apprentice Data Scientist Machine Learning information

What is the difference between Apprentice Data Scientist Machine Learning vs Data Scientist?

AspectApprentice Data Scientist Machine LearningData Scientist
Required CredentialsBasic degree, entry-level certificationsAdvanced degree (Master's or PhD), specialized certifications
Work EnvironmentInternships, training programs, entry-level projectsFull-time roles in various industries, independent project work
Employer & Industry UsageStartups, tech companies, research labsCorporate, finance, healthcare, tech firms
Search & Comparison IntentLearning path, entry-level roles, trainingCareer advancement, expertise, senior roles

In summary, Apprentice Data Scientist Machine Learning roles are entry-level positions focused on learning and skill development, often requiring basic education and certifications. Data Scientists typically hold advanced degrees and have more experience, working independently on complex projects across various industries. The main difference lies in experience level, responsibilities, and career stage.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Omaha, NE?

The most popular types of Data Scientist Machine Learning jobs in Omaha, NE are:

Apprentice Data Scientist Machine Learning jobs near you

Data Scientist

Omaha, NE

Agile Defense
IT Services • 201 - 500 employees
Learn more about Agile Defenseexternal

Full-time

Re-posted 26 days ago

Key responsibilities

  • Support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense's CDAO ADA IR program.

  • Help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments.

  • Collaborate with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.

Job description

About Agile Defense
 
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
 
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.

Requisition #: 1590

Job Title: Data Scientist

Location: In Person: Falls Church, VA \u007C Ft. Meade, MD \u007C Stuttgart, Baden-Württemberg, Germany \u007C Tampa, FL \u007C Honolulu (Camp H.M. Smith), HI \u007C Colorado Springs, CO \u007C Doral (Miami area), FL \u007C Omaha (Offutt Air Force Base), NE \u007C Scott Air Force Base, IL

Clearance Level: Top Secret with the ability to obtain an SCI, Must Have Clearance to Start

Job Descripton
Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.
 
You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.
 
This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.
Education and Background
A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience
Required Skills
  • 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
  • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark
Preferred Skills
  • Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).
  • Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).
  • Strong understanding of data validation, model testing, and performance evaluation techniques.
  • Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.
  • Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.
Working Conditions
Requires work onsite in a SCIF
Our Core Values
 
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. 
 
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
 
  • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
  • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
  • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
  • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
  • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
  • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.
 
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.